Research Scientist Intern, Robotics Hardware (PhD)

At Meta, we’re building the future of human connection and the technology that enables it. This means continuously inventing and developing technologies for the next generation of experiences.

To continue our efforts in the path to AGI, and as we move closer to a future with intelligent robots and advanced AI models, we're hiring talent across a broad range of disciplines from robotics hardware to system software, machine perception, and artificial intelligence. These crucial projects and initiatives taken on by this team have never been done before, so you have a rare opportunity to help us create new ways people connect around the world.

The Meta Robotics Hardware team is seeking a Research Scientist Intern with an emphasis on developing high-performance custom robotics hardware. This role will be part of a hardware research team responsible for consumer humanoid development at Meta.

Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Responsibilities

Design, build, bring up and test advanced robotic systems (hardware and software), from scratch.
Advance rapid prototyping of new concepts and provide creative solutions to challenges in robotics hardware development, with an emphasis on both theory and physical embodiment of the new concepts.
Support characterization and validation for deep maturation of critical components for Meta’s robotics product development.
Collaborate with engineers, researchers, and cross-functional partners on full-stack system development.

Qualifications

Currently has or is in the process of obtaining a Ph.D. degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or relevant technical field
Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
Experience with hands-on design, bring-up, and iteration of real robotic hardware systems, using a first-principles-driven approach
Basic experience across multiple relevant domains, such as electromagnetic simulation, actuator specification and design, hardware design, prototyping, and manufacturing, tactile sensing, implementation of low-level motor control, implementation of high-level controls/autonomy (model- or learning-based)
Experience with Python, C++, C, MATLAB or related language Intent to return to degree program after the completion of the internship/co-op
Deep experience in at least one relevant domain, such as electromagnetic simulation, actuator specification and design, hardware design, prototyping, and manufacturing, tactile sensing, implementation of low-level motor control, implementation of high-level controls/autonomy (model- or learning-based)
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ICRA, IROS, RSS, CoRL, or similar
Experience working and communicating cross functionally in a team environment